Coding is an important component of healthcare operations.

Technology can play a big role in assisting you with this process and alleviating costly mistakes and lost revenues.
We offer several ways to help streamline the coding process, and speed up the revenue cycle.

Coding Workflow

Our AbbaDox workflow portal has an integrated coding module. It eliminates the need to physically distribute documents to coders or outside billing companies.  Because the application is in the cloud, the coder may even be located in a different country or continent. A document’s chain of custody always remains with AbbaDox so files are never lost, and if questions arise, a record can be tagged with a note or reviewed by another coder or coding supervisor. Coders can review historical documents since they become part of the patient record.

Documents, including transcribed reports, scanned documents and lab and pathology reports, are stored securely on the AbbaDox Cloud. With role-based security, access is granted only for those who need to know.

The coding workflow separates the coding process into four major categories: coding queue, coding review, coding approval and completed. Additional steps, such as coding approval, can be added if desired. The completed codes transmit to the billing system.

AbbaDox provides administrative reports based on coding information including patient encounters by coder, date of service, date coded, and CPT, ICD or modifier codes.

Natural Language Processing

Another way IDS can help automate the coding process is with Natural Language Processing (NLP.) When implemented properly, NLP can improve coding consistency and accuracy. By applying algorithms, the technology scans clinical documentation and suggests proper medical codes, such as ICD or SNOMED, to assign to the case. It automatically can extract key phrases from dictations or reports created by providers and maps the terminology that is clinically relevant to codes. By automating data associations, organizations can streamline many processes such billing, meaningful use, compliance and clinical decision support.

In this way, NLP can be instrumental in the transformation of healthcare delivery. Reducing manual data entry and extraction processes allows data to be parsed, making it easier to move, store and share. This data-driven approach follows the trend toward an outcomes-based healthcare model.

Natural Language Processing assists numerous clinical applications and integrates with a host of applications including medical transcription and clinical documentation, EHR, and quality management.

By embedding intelligent language processing tools into clinical documentation workflows, IDS technology identifies clinical concepts such as Problems/Diagnosis, Medications, Allergies, Labs and Procedures and codes them according to standard coding protocol such as ICD-9, ICD-10, SNOMED and Hierarchical Condition Categories (HCC). These automated processes provide efficiencies and streamline payment and reimbursement workflows.

NLP can help compensate for productivity loss associated with EHR adoption

  • Compiles data from different sources

  • Reduces data entry time

  • Physicians spend less time with an EHR

All digital data makes multiple formats and EHR Meaningful Use reporting possible.

Charge Capture

One of the best ways to tighten up the coding cycle is to look at the originating points, such as the patient encounter. Physicians and hospitalists can identify the services rendered at the point of care. This can ensure patients are charged comprehensively and compliantly for the services, medical devices, or medications they receive.

Recording these services at the point of care means far fewer missed or lost charges and a more efficient revenue cycle. And because the application works on a mobile device, it is easy and fast, a process physicians can complete in seconds.

Learn more about Charge Capture.